Laminar Security

NOVEMBER 1, 2023

Data is more critical than ever in 2023. Even if teams are actively seeking to improve their data security, it’s challenging to do so within today’s multi-cloud environments. Cloud storage makes it easy for developers and data scientists to move, modify, or duplicate sensitive data in seconds.

Data Science 94

Data Science Risk Enterprise Technology 94

DataKitchen

FEBRUARY 21, 2023

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

DataKitchen

DECEMBER 20, 2020

Data-driven companies sense change through data analytics. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving. The speed at which the data team responds to these requests is critical. The agility of analytics directly relates to data analytics workflows.

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. More accurate measurement of KPIs: Digital campaigns generate more data than humans can keep up with, which can make measuring the success of marketing initiatives difficult.

Marketing 86

Marketing Technology Advertising ROI 86

DataKitchen

JANUARY 20, 2021

We’ll also discuss building DataOps expertise around the data organization, in a decentralized fashion, using DataOps centers of excellence (COE) or DataOps Dojos. Test data management and other functions provided ‘as a service’ . DataOps Technical Services. Agile ticketing/Kanban tools. Deploy to production. Product monitoring.

Metrics 243

Metrics Experimentation Measurement Testing 243

The Unofficial Google Data Science Blog

NOVEMBER 19, 2015

by SEAN GERRISH If you are a regular at this blog, thanks for reading. We will continue to bring you posts from the range of data science activities at Google. We briefly highlight some of the things we look for in data scientists we hire at Google and give tips on ways to prepare. This post is different.

Statistics 75

Statistics Data Science Machine Learning Sales 75

Smarten

AUGUST 1, 2022

Enable Citizen Data Scientist User Adoption of Augmented Analytics with Business Use Cases ! For a business to succeed in transforming business users to Citizen Data Scientists, it must have a firm grasp on how to use – and encourage team members to use – augmented analytics. Customer Churn.

Analytics 52

Analytics Advertising Cost-Benefit Enterprise 52

IBM Big Data Hub

SEPTEMBER 20, 2023

While that can mean hiring new talent like data scientists and software programmers, it should also mean providing existing workers with the training they need to manage AI-related projects. For example, public sector agencies can make better use of data by migrating certain technology systems to the cloud and infuse it with AI.

Cost-Benefit 110

Cost-Benefit Digital Transformation Technology Modeling 110

DataRobot Blog

FEBRUARY 28, 2022

DataRobot is home to a treasure trove of Data Scientists. We’ve started a series called “Data Scientist Spotlight” as a way to meet the people behind the technology and introduce you to our great team. Why do you think data science is such an in-demand job right now? Introducing Alex Tsourmas.

Data Science 52

Data Science Experimentation Consulting Marketing 52

DataRobot

JULY 27, 2021

Last fall, I penned a blog post around our Series F funding, focused on the fact that the era of experimental AI is over. Every person must become a data scientist in order to unleash their full potential. Machines bring unparalleled power, speed, and efficiency to processing large data sets and tasks based on a set of rules.

Machine Learning 98

Machine Learning Experimentation Modeling Forecasting 98

Cloudera

APRIL 20, 2021

Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. What are the business challenges with today’s data?

Analytics 91

Analytics Unstructured Data IoT Visualization 91

IBM Big Data Hub

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. Establish a data governance framework to manage data effectively.

Strategy 79

Strategy Business Objectives Cost-Benefit Consulting 79

Insight

AUGUST 8, 2019

Setting the record straight about the best program for transitioning to careers in data and tech New York Insight Fellows in June 2019 Over the past seven years, Insight has helped more than 2,000 Fellows transition into new careers in data and tech. 5 things to know about Insight (Spoiler: it’s not a bootcamp!)

Data Science 66

Data Science Cost-Benefit Big Data Management 66

Cloudera

MARCH 1, 2021

Data show s that diverse teams perform better and that those companies where women are well represented at the top deliver better profitability. Yet hiring processes continue to propagate bias towards women by not changing their minimum requirements. We’re staring a deep and prolonged female leadership crisis in the face.

Consulting 107

Consulting Reporting IT 107

DataKitchen

OCTOBER 28, 2021

We have the tools to create data analytics workflows that address AI bias. When our work processes for creating and monitoring analytics contain built-in controls against bias, data analytics organizations will no longer be dependent on individual social awareness or heroism. What Is AI Bias? What Is AI Bias?

Testing 130

Testing IT Manufacturing Metrics 130

Darkhorse

DECEMBER 11, 2017

Analytics and now Data Science are trapped in the middle. A recent HBR article put it at 100% for data science projects. Who would you hire, and what would their roles be? I suggest that there are five distinct job descriptions: SUBSCRIBE TO OUR BLOG. Data Steward – this skillset is alive and well in most organizations.

Analytics 80

Analytics Visualization Data Warehouse Data-driven 80

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. Turning Data into Insight. The unknown and uncertain factor is whether it will be enough?

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. We didn’t use the data from these respondents; in practice, discarding this data had no effect on the results.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? One challenge in applying data science is to identify pertinent business issues.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Depict Data Studio

JULY 13, 2021

— Thank you to Ann Emery, Depict Data Studio, and her Simple Spreadsheets class for inviting us to talk to them about the use of statistics in nonprofit program evaluation! We have used this example before: Scientists discover and test medicines to make sure they work. Ask us more about Data Teams!

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

Jedox

SEPTEMBER 11, 2019

There are many reasons why such technology isn’t available yet—insufficient data, unstructured data and some human knowledge that is not yet transferable to machine. Those algorithms analyze historical data (weekly sales, monthly electricity costs, etc.) How: Start small with a specific data source that can be validated.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

Timo Elliott

JANUARY 5, 2022

This is a English translation of an article by Thérèse van Bellinghen that first appeared on the SAP News Blog. . They discussed how medium and small sized enterprises should handle the digital transformation, and the concrete roles of Data Protection Officers and Innovation Evangelists during this process. Timo: Yes.

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Insurance 115

O'Reilly on Data

JANUARY 22, 2019

In this blog post, we explore three types of errors inherent in all financial models, with a simple example of a model in TensorFlow Probability (TFP). Instead of hiring people with a finance or Wall Street background, they prefer to hire physicists, mathematicians, statisticians, and computer scientists. Not even close.

Modeling 134

Modeling Finance Uncertainty Data mining 134

IBM Big Data Hub

FEBRUARY 10, 2022

As a data scientist for IBM Consulting, I’ve been fortunate enough to work on several projects to fulfill the various needs of IBM clients. The Data Challenge. As someone who is passionate about data science, I know from firsthand that our model is only as good as the data we feed it. Be part of the future.

Machine Learning 55

Machine Learning Modeling Data Science Consulting 55

IBM Big Data Hub

OCTOBER 16, 2023

Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects. Bias can be found in the initial training data, the algorithm, or the predictions the algorithm produces.

Advertising 76

Advertising Machine Learning Data Architecture Cost-Benefit 76

Cloudera

FEBRUARY 25, 2021

While data provides insight, it doesn’t make the decision to act – this is where business leaders can lead the way. . The post Black History Month 2021: Be the light appeared first on Cloudera Blog. Capitol, reminding us all of the racial injustice that still persists in this country. . Cloudera in action.

Risk 99

Risk Optimization Modeling IT 99

Sisense

FEBRUARY 3, 2021

Artificial intelligence and machine learning are the future of every industry, especially data and analytics. In its 2020 report “Top 10 Trends in Data and Analytics,” Gartner predicts that only 10% of companies will be using augmented analytics to their full potential. Data volumes and variety are growing exponentially.

Analytics 59

Analytics Forecasting Metrics Data-driven 59

IBM Big Data Hub

SEPTEMBER 27, 2022

Whether it be financial services, employee hiring, customer service management or healthcare administration, AI is increasingly powering critical workflows across all industries. Data and insights belong to their creator. IBM clients’ data is their data, and their insights are their insights. Does it safeguard data?

Consulting 52

Consulting Machine Learning Modeling Strategy 52

Sisense

APRIL 17, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. What is a materialized view, anyway?

Data Warehouse 90

Data Warehouse Visualization Statistics Machine Learning 90

Jedox

APRIL 16, 2020

We are pleased to welcome Mr. Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. Turning Data into Insight. The unknown and uncertain factor is whether it will be enough?

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

DataRobot Blog

NOVEMBER 9, 2017

I’ve spent my entire career as a data scientist watching some “real” data scientists look down their noses at other “fake” data scientists. I’ve even seen Foxworthy-esque articles informing people that they “might be a fake data scientist if…” Ultimately, none of this is particularly helpful.

Machine Learning 52

Machine Learning Data-driven Software Sales 52

CIO Business Intelligence

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. In July, New York City started enforcing new rules about the use of AI in hiring decisions. It’s incredible,” he says.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Sisense

SEPTEMBER 12, 2019

We’ve been talking a lot recently about companies needing to use their data in order to stay in business in the future. We’ve even gone as far as saying that every company is a data company , whether they know it or not. Every company has been generating data for a while now. 2 Plan your objectives (and map the supporting data).

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Jet Global

AUGUST 14, 2020

Tax needs to consider innovative ways to collect and process financial data, moving away from manual manipulation and reconciliation to more forward-thinking analytics for real-time decision-making.”. Nyenrode Business Universiteit in the Netherlands, for example, has introduced an executive program called Tax Data Science.

Data-driven 98

Data-driven Forecasting Reporting Technology 98

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. for beginning study in data science?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52